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ICDE
2007
IEEE
122views Database» more  ICDE 2007»
16 years 6 months ago
Group Linkage
Poor quality data is prevalent in databases due to a variety of reasons, including transcription errors, lack of standards for recording database fields, etc. To be able to query ...
Byung-Won On, Nick Koudas, Dongwon Lee, Divesh Sri...
138
Voted
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 11 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
133
Voted
BMCBI
2005
93views more  BMCBI 2005»
15 years 4 months ago
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis S
Background: Detection of Loss of Heterozygosity (LOH) is one of the most common molecular applications in the study of human diseases, in particular cancer. The technique is commo...
Rifat A. Hamoudi, Amina El-Hamidi, Ming-Qing Du
265
Voted
EDM
2009
184views Data Mining» more  EDM 2009»
15 years 2 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 2 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima